Sweedler / Eberwine / Fraser Single Cell ‘Omics of Neuronal Cells

Erscheinungsjahr 2022
ISBN: 978-1-0716-2525-5
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 184, 294 Seiten, eBook

Reihe: Neuromethods

This volume discusses the latest techniques used in the diverse fields of single cell ‘omics and covers topics such as quantifying the single cell transcriptome; isolation of cells in nanoliter volumes for single cell proteomics measurements by nano-LC-MS/MS; and single cell protein characterization by immunoblotting. A wide range of methodologies are highlighted, ranging from high-yield chemical amplification to mass spectrometry and nanotechnology for the analysis of the chemical constituents of cells. In the Neuromethods series style, chapters include both in-depth overviews, as well as detailed protocols that provide the key advice from specialists you need to get successful results in your laboratory.  Cutting-edge and comprehensive, Single Cell ‘Omics of Neuronal Cells is a valuable resource for experienced and novice researchers interested in learning more about this field and its future developments.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Sweedler, Jonathan V.

Eberwine, James

Fraser, Scott E.

Inhaltsverzeichnis

Singe Cell aRNA-Seq for Transcriptomics and Cellular Phenotyping.- Single Cell Genomic and Epigenomic DNA Analyses.- Single-Cell Proteome Profiling of Neuronal Cells.- Joint Analysis of Transcriptome and Proteome Measurements in Single Cells with TotalVI.- Single-Cell Mass Spectrometry of Metabolites and Proteins for Systems and Functional Biology.- High-Throughout Image-Guided Microprobe Mass Spectrometric Analysis of Single Cells.- Single-Cell Resolution Immunoblotting.- Quantifying Enzyme Activity and Gene Expression within Single-Cells using a Multiplexed Capillary Electrophoresis Platform.- Quantitative Chemical Imaging at the Cell Level-SIMS, Fluorescence, and Correlative Techniques.- Electrophysiology and Single Cells.- Genetically Encoded Biosensors Reveal Spatiotemporal Dynamics and Cellular Heterogeneity of Neuronal Cells.